Senior Data & Reporting Engineer

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

As a Sr. Data & Reporting engineer, you are responsible for designing, developing, and maintaining data reporting systems and data sources. You will transform raw data into meaningful reports and visualizations that support decision-making and business strategies.

• Design, develop, verify, and deliver ad-hoc or automated operation reports, maintaining the highest quality, accuracy, and reliable in a timely way
• Collaborate with stakeholders to determine requirements, estimate level of efforts, and implement solutions for data analysis, reporting, scheduled jobs and data integration across various systems
• Develop, enhance, and maintain large and complex ETL scripts and datasets
• Work closely with software developers to manage and document data models as per the standards, and manage data dictionary and entity relationship
• Maintain data integrity includes performs extensive data validation, cleansing, quality assurance, and reconciliation
• Conduct troubleshooting on internal, external and data processes to identify and resolve data issues
• Identify opportunities to improve data management technologies
• Manage data access and delivery per data security policies
• Assists to re-engineer and manage data pipelines architecture, data lake and data warehouses as needed

Pre-Requisites :

• Bachelor’s Degree in Computer Science, Information Technology or equivalent.
• Minimum of 3 years working experiences in data technologies, reporting tools, relational databases, ETL, data lake and data warehousing
• Strong skill and knowledge in SQL, stored procedures, and capable of designing complex and performant SQL queries
• Experience in at least one or more languages: Python, PySpark or C#.NET.
• Experience in AWS technologies such as AWS Glue, Kinesis, lambda, Firehose, Redshift, S3, EC2 instances, EMR, and DMS.
• Demonstrated analytical mind to work with large amounts of structured and unstructured data: facts, figures, and number crunching
• Passionate about data and analyzing business needs
• Excellent communication skills including written, verbal and presentation

Are you game?